کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6877761 | 692712 | 2017 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
AutoGrow 3.0: An improved algorithm for chemically tractable, semi-automated protein inhibitor design
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی تئوریک و عملی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
- AutoGrow is an evolutionary algorithm that facilitates drug design and optimization.
- AutoGrow is now improved because it uses the rules of click chemistry to guide optimization, enhancing synthesizability.
- Additionally, the program discards any growing ligand whose physical and chemical properties are not druglike.
- As a demonstration, we use AutoGrow to generate predicted inhibitors of three important drug targets.
- AutoGrow is available free of charge and has been tested on Linux and Mac OS X.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Molecular Graphics and Modelling - Brought to you by:Anil Neerukonda Institute of Technology and Sciences 'Renewal due by 31 Dec 2017'
Journal: Journal of Molecular Graphics and Modelling - Brought to you by:Anil Neerukonda Institute of Technology and Sciences 'Renewal due by 31 Dec 2017'
نویسندگان
Jacob D. Durrant, Steffen Lindert, J. Andrew McCammon,